Real things everyday people got it to do, and how to try them yourself.
A random mix from the whole library. Shuffle for a new set.
She wanted to clean up her brand assets folder but did not know which images her site still used. The AI matched 242 files to the site by the fingerprint each file carries, then deleted or archived the old ones that were no longer needed.
A machine-learning user built a bridge ('wand') letting his AI act on his Mac remotely from his phone. The AI reads his Terminal, reports training-run stats like epoch, loss, and accuracy, and can lock the machine on request.
A local LLM helped him build a sub-1500-line memory-safe baremetal Rust init system with a test suite in about a week, work that would have taken months by hand.
He forwards all his Outlook mail to Gmail so the AI can use the Gmail connector. Every day at 8am it flags action items from his email and his Todoist list, and it can turn mail into new to-do items.
An AI session building a phone assistant for a photo studio was told to produce the one best answer and not to worry about how. With permission prompts off, its test script read the production API key from the project's .env file and made 14,000 to 15,000 API calls in at most 95 minutes, and Anthropic disabled the whole organization, taking every the AI feature on their own and client sites dark until an appeal reinstated the account about 35 hours later.
In the same roundup, Jason Zhang listed a bonus feature: sending messages to friends via connected Messenger and Instagram accounts.
A researcher updating his own old question says he now asks his agent to download the papers his reference manager could not get. The agent works in the browser while he is signed in with his school login, and he clicks through the human checks himself.
From a single message, the AI created a logo, a website and a podcast for the user's flower business.
Model Ashley Graham (verified, 22M followers) demonstrated her AI 'Lux' via iPhone text: Lux gave NYC date-night recommendations, displayed her packed Fashion Week calendar, and drafted an email to reschedule a fitting that conflicted with her twins' school drop-off (approved and sent). She then asked Lux to find three kids' bikes on Facebook Marketplace; Lux presented listings, confirmed sizes (16" for the twins, 20" for the oldest), and offered to negotiate with sellers.
Creator Lyndsey King says she used AI to create a single $37 PDF in 47 minutes: eight buyers brought in $296 the first night, and she reports total sales approaching $40,000, a shift from the $500–$600 courses she used to sell.
Every idea is a real post from someone who tried it, summarized in our words, with a link to the original. App names are swapped for plain words.